Hayashi, Kazuki(Graduate School of Engineering) | Activity Database on Education and Research, Kyoto University

Hayashi, Kazuki

Graduate School of Engineering Senior Lecturer/ Junior Associate Professor

Last Updated :2025/05/16

Basic Information

Faculty

Faculty of Engineering

Professional Memberships

From Apr. 2025, To Present
The Japan Society for Industrial and Applied Mathematics

From Jun. 2022, To Dec. 2024
the Japan Society of Mechanical Engineers

From Jun. 2021, To Present
International Society for Structural and Multidisciplinary Optimization (ISSMO)

From Jun. 2021, To Present
International Association for Shell and Spatial Structures (IASS)

From Apr. 2021, To Present
The Japan Society for Computational Engineering and Science

From Apr. 2015, To Present
The Architectural Institute of Japan

Academic Degree

Master of Engineering(Kyoto University)

Doctor of Engineering(Kyoto University)

Research History

From Feb. 2025, To Present
Kyoto University, Graduate School of Engineering, Engineering Education Research Center, Junior Associate Professor

From Sep. 2023, To Aug. 2024
École nationale des ponts et chaussées, Laboratoire Navier, Visiting researcher

From Apr. 2018, To Mar. 2021
Japan Society for the Promotion of Science, Research Fellowship for Young Scientists (DC1)

From Apr. 2021, To Jan. 2025
Kyoto University, Graduate School of Engineering Department of Architecture and Architectual Systems Engineering, Assistant Professor

ID,URL

ORCID ID
0000-0002-4026-8234
J-Global ID
202101004263606859
External link
https://www.hayashikazuki.net

researchmap URL

https://researchmap.jp/hayashikazuki

Last Updated :2025/05/16

Research

Research Interests

Architectural Informatics

Mathematical modelling of architectural structures

Structural Morphogenesis

Structural Optimization

Research Areas

Social infrastructure (civil Engineering, architecture, disaster prevention), Building structures and materials, Structural morphogenesis

Social infrastructure (civil Engineering, architecture, disaster prevention), Building structures and materials, Structural optimization

Papers

Local search-based online learning algorithm for shape and cross-section optimization of free-form single-layer reticulated shells
Qiang Zeng; Makoto Ohsaki; Kazuki Hayashi; Shaojun Zhu; Xiaonong Guo
Automation in Construction, Jun. 2025, Peer-reviewed

Hierarchical graph-based machine learning model for optimization of three-dimensional braced steel frame
Chi-tathon Kupwiwat; Kazuki Hayashi; Makoto Ohsaki
Engineering Applications of Artificial Intelligence, 01 May 2025, Peer-reviewed

Multi-agent reinforcement learning for optimal design of 3D-steel frames as assembly of 2D-frames
Kotaro Takenaka; Makoto Ohsaki; Makoto Yamakawa; Kazuki Hayashi
Journal of Structural and Construction Engineering (Transactions of AIJ), 01 Mar. 2025, Peer-reviewed

Architectural design education method introducing feedback by 2D mapping of design evaluations
Hiroto Ota; Kazuki Hayashi
AIJ Journal of Technology and Design, 20 Jun. 2024, Peer-reviewed

Parametric generation of optimal structures through discrete exponential functions: unveiling connections between structural optimality and discrete isothermicity
Kazuki Hayashi; Yoshiki Jikumaru; Yohei Yokosuka; Kentaro Hayakawa; Kenji Kajiwara
Structural and Multidisciplinary Optimization, 29 Feb. 2024, Peer-reviewed, Lead author

Target shape approximation of funicular surfaces by load control using RBF interpolation
Kazuki Hayashi; Jun Yanagimuro
International Journal of Space Structures, Jun. 2024, Peer-reviewed, Lead author

Multi-objective optimization of truss structure using multi-agent reinforcement learning and graph representation
Chi-tathon Kupwiwat; Kazuki Hayashi; Makoto Ohsaki
Engineering Applications of Artificial Intelligence, Mar. 2024, Peer-reviewed

Deep deterministic policy gradient and graph convolutional networks for topology optimization of braced steel frames
Chi-tathon Kupwiwat; Yuichi Iwagoe; Kazuki hayashi; Makoto Ohsaki
Journal of Structural Engineering, B (JP), 07 Apr. 2023, Peer-reviewed
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Deep deterministic policy gradient and graph attention network for geometry optimization of latticed shells
Chi-tathon Kupwiwat; Kazuki Hayashi; Makoto Ohsaki
Applied Intelligence, 17 Mar. 2023, Peer-reviewed
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Mean curvature flow for generating discrete surfaces with piecewise constant mean curvatures
Kazuki Hayashi; Yoshiki Jikumaru; Makoto Ohsaki; Takashi Kagaya; Yohei Yokosuka
Computer Aided Geometric Design, 20 Mar. 2023, Peer-reviewed, Lead author
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Assembly sequence optimization of spatial trusses using graph embedding and reinforcement learning
Kazuki Hayashi; Makoto Ohsaki; Masaya Kotera
Journal of International Association for Shell and Spatial Structures, 01 Dec. 2022, Peer-reviewed, Invited, Lead author
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Deep deterministic policy gradient and graph convolutional network for bracing direction optimization of grid shells
Chi-tathon Kupwiwat; Kazuki Hayashi; Makoto Ohsaki
Frontiers in Built Environment, 23 Aug. 2022, Peer-reviewed

Deep reinforcement learning-based critical element identification and demolition planning of frame structures
Shaojun Zhu; Makoto Ohsaki; Kazuki Hayashi; Shaohan Zong; Xiaonong Guo
Frontiers of Structural and Civil Engineering, 13 Dec. 2022, Peer-reviewed

Graph-based reinforcement learning for discrete cross-section optimization of planar steel frames
Kazuki Hayashi; Makoto Ohsaki
Advanced Engineering Informatics, 14 Jan. 2022, Peer-reviewed, Lead author
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Machine-specified ground structures for topology optimization of binary trusses using graph embedding policy network
Shaojun Zhu; Makoto Ohsaki; Kazuki Hayashi; Xiaonong Guo
Advances in Engineering Software, Sep. 2021, Peer-reviewed

Discrete Gaussian Curvature Flow for Piecewise Constant Gaussian Curvature Surface
Kazuki Hayashi; Yoshiki Jikumaru; Makoto Ohsaki; Takashi Kagaya; Yohei Yokosuka
Computer-Aided Design, May 2021, Peer-reviewed, Lead author
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Design review method with "LIVE AHP" to visualize and share jury's own design evaluation
Hiroto OTA; Takuya ITO; Kazuki HAYASHI
AIJ Journal of Technology and Design, 20 Feb. 2021, Peer-reviewed, Last author

Reinforcement learning and graph embedding for binary truss topology optimization under stress and displacement constraints
Kazuki Hayashi; Makoto Ohsaki
Frontiers in Built Environment, 30 Apr. 2020, Peer-reviewed, Lead author
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Reinforcement learning for optimum design of a plane frame under static loads
Kazuki Hayashi; Makoto Ohsaki
Engineering with Computers, Jul. 2021, Peer-reviewed, Lead author
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FDMopt: Force density method for optimal geometry and topology of trusses
Kazuki Hayashi; Makoto Ohsaki
Advances in Engineering Software, Jul. 2019, Peer-reviewed, Lead author
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Force density method for simultaneous optimization of geometry and topology of trusses
Makoto Ohsaki; Kazuki Hayashi
Structural and Multidisciplinary Optimization, Nov. 2017, Peer-reviewed, Last author
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Misc.

Machine learning and optimization
Kazuki Hayashi; Makoto Ohsaki
Architectural Technology 2024 April issue, Mar. 2024, Lead author

Introduction of two-dimensional mapping for design evaluation in architectural design education - Case study of the Mitaka Satellite Campus, a second-semester design project of the second year undergraduates
Hiroto Ota; Kazuki Hayashi
Bulletin of Institute of Architecture, Musashino University, Mar. 2023

Guidelines for applying machine learning models to building design and property prediction
Kazuki Hayashi
"Architecture and Information―Toward the future of architectural studies", Research Council on Information System Technology Division, Architectural Institute of Japan, 06 Sep. 2022, Invited, Lead author

Participation report of IASS symposium 2019 in Barcelona
Yosuke Nakaso; Tatsuya Yoshino; Kazuki Hayashi; Kenichi Kawaguchi
Steel Structure Technology April 2020 issue, 28 Mar. 2020

Programming design methods
Kazuki Hayashi
Journal of Architecture and Building Science, Nov. 2019, Invited, Lead author

Presentations

Construction sequence optimization of triangulated shell structures by reinforcement learning agent explicitly considering the Laplacian
Kazuki Hayashi; Makoto Ohsaki
Annual Meeting of the Japan Society for Industrial and Applied Mathematics (JSIAM2025), Sep. 2025, the Japan Society for Industrial and Applied Mathematics (JSIAM)

Geometry-aware reinforcement learning for assembly sequence optimization of shells composed of triangular panels
Kazuki Hayashi; Makoto Ohsaki
IASS Annual Symposium 2025, Oct. 2025, the International Association for Shell and Spatial Structures (IASS)

Structural behavior of deployable bilayer auxetic metamaterials: A comparison of triangular and square unit designs
Ren Nagatomo; Kazuki Hayashi; Romain Mesnil; Makoto Ohsaki
IASS Annual Symposium 2025, Oct. 2025, the International Association for Shell and Spatial Structures (IASS)

Geometry optimization of free-form surfaces based on deep deterministic policy gradient and graph convolutional network
Jiang-Jun Hou; Makoto Ohsaki; Kazuki Hayashi; Jinyu Lu
The 14th Asian Pacific Conference on Shell and Spatial Structures (APCS2025), 10 Jun. 2025, The Asian Pacific Conference on Shell and Spatial Structures (APCS)

Topology optimization of masonry structures using discontinuous deformation analysis
On Takahashi; Makoto Ohsaki; Zhang Jingyao; Kazuki Hayashi
The 14th Asian Pacific Conference on Shell and Spatial Structures (APCS2025), 10 Jun. 2025, The Asian Pacific Conference on Shell and Spatial Structures (APCS)

Topology optimization and feature extraction of multiscale lattice structures using convolutional neural network
Tomoya Matsuoka; Makoto Ohsaki; Kazuki Hayashi
the 16th World Congress on Structural and Multidisciplinary Optimisation (WCSMO2025), 23 May 2025, the international Society for Structural and Multidisciplinary Optimisation (ISSMO)

Heterogeneous multi-agent reinforcement learning for optimal design of 3D steel frames as assembly of 2D frames
Kotaro Takenaka; Makoto Ohsaki; Makoto Yamakawa; Kazuki Hayashi
the 16th World Congress on Structural and Multidisciplinary Optimisation (WCSMO2025), 23 May 2025, the international Society for Structural and Multidisciplinary Optimisation (ISSMO)

Matrix-based shape sensitivity analysis for thin shell structures: A comparative study of analytical and numerical computations
Kazuki Hayashi; Romain Mesnil
the 16th World Congress on Structural and Multidisciplinary Optimisation (WCSMO2025), 22 May 2025, the international Society for Structural and Multidisciplinary Optimisation (ISSMO)

Deployable auxetic surface structures: From optimized shape to detail design implementation
Kazuki Hayashi
Evolving Design and Discrete Differential Geometry：towards Mathematics Aided Geometric Design, 10 Mar. 2025, Joint Research Center for Advanced and Fundamental Mathematics-for-Industry

Non-developable surface structures using bilayer square auxetic material and kerf bending joints
Ren Nagatomo; Kazuki Hayashi; Makoto Ohsaki; Romain Mesnil
The 14th Asian Pacific Conference on Shell and Spatial Structures (APCS2025), 10 Jun. 2025, The Asian Pacific Conference on Shell and Spatial Structures (APCS)

Bespoke machine learning framework for solving structural engineering problems using graph neural networks: Toward specialized AI
Kazuki Hayashi
The 4th International Conference on Computational Engineering and Science for Safety and Environmental Problems (COMPSAFE2025), Jul. 2025, The Japan Society for Computational Engineering and Science (JSCES) and the Japan Association for Computational Mechanics (JACM)

Analysis of structural patterns characterizing mechanical properties of lattice structures using machine learning
Tomoya Matsuoka; Makoto Ohsaki; Kazuki Hayashi
the 47th Symposium on Computer Technology of Information, Systems and Applications, 06 Dec. 2024, Architectural Institute of Japan

Topology optimization of masonry structures using SIMP and discontinuous deformation methods
On Takahashi; Makoto Ohsaki; Kazuki Hayashi; Zhang Jingyao
the 19th colloquium analysis and generation of structural shapes and systems, 08 Nov. 2024, Architectural Institute of Japan

How to make AI models for architectural engineering problems Intelligently?
Kazuki Hayashi
11e édition du Séminaire de Conception Architecturale Numérique (SCAN'24), 07 Nov. 2024, l'Association de Recherche sur la Conception Architecturale Numérique (ARCAN), Invited

Graph-based machine learning for capturing properties of discrete structures
Kazuki Hayashi
4th International Workshops on Advances in Computational Mechanics (IWACOM-IV), 19 Sep. 2024, The Japan Society for Computational Engineering and Science (JSCES), Invited

Machine learning and variational principle for the rational design of discrete spatial structures
Kazuki Hayashi
Invited lecture at École nationale des ponts et chaussées (ENPC), 17 Nov. 2022, Invited

New configuration of truss structures through new numerical modeling and optimization method
Kazuki Hayashi
Invited presentaion at École polytechnique fédérale de Lausanne (EPFL), 25 Jun. 2019, Applied Computing and Mechanics Laboratory (IMAC), Invited

Force density method for simultaneous optimization of geometry and topology of trusses
Kazuki Hayashi
Invited presentation at Massachusetts Institute of Technology (MIT), 01 Feb. 2017, Digital Structures laboratory, Invited

Funicular surface analysis incorporating shape preference via variable load distribution
Kazuki Hayashi; Jun Yanagimuro
The 14th Asian Pacific Conference on Shell and Spatial Structures (APCS2025), 11 Jun. 2025, The Asian Pacific Conference on Shell and Spatial Structures (APCS)

Design of bolted connections for multi-layer auxetic structures via conformal mapping
Kazuki Hayashi; Romain Mesnil
Annual Meeting of the Japan Society for Industrial and Applied Mathematics (JSIAM2024), 16 Sep. 2024, the Japan Society for Industrial and Applied Mathematics (JSIAM2024)

Topology optimization of periodic lattice structures using machine learning considering member connectivity
Tomoya Matsuoka; Makoto Ohsaki; Kazuki Hayashi
Annual Convention of Architectural Institute of Japan (AIJ), 30 Aug. 2024, Architectural Institute of Japan

Comprendre le ressenti thermique humain à l'aide de l'intelligence artificielle : une expérience participative
Matteo Migliari; Kazuki hayashi; Yan Ulanowski; Stéphane Laporte; Martin Hendel; Sophie Parison; Julien Despax; Loïc Chesne; Olivier Baverel
EduBIM2024 : Données, intelligences et nature de la ville durable, 27 Nov. 2024, EduBIM

Optimal design of spatial steel frames based on multi-agent reinforcement learning
Kotaro Takenaka; Makoto Yamakawa; Kazuki Hayashi; Makoto Ohsaki
Annual Convention of Architectural Institute of Japan (AIJ), 30 Aug. 2024, Architectural Institute of Japan

Non-developable surface structures using bilayer auxetic material and kerf bending joints
Kazuki Hayashi; Romain Mesnil
IASS Symposium 2024, 26 Aug. 2024, International Association of Shell and Spatial Structures (IASS)

Topology optimization of periodic lattice structures for specified mechanical properties using machine learning considering member connectivity
Tomoya Matsuoka; Makoto Ohsaki; Kazuki Hayashi
Asian Congress of Structural and Multidisciplinary Optimization (ACSMO), 22 May 2024, Asian Society for Structural and Multidisciplinary Optimization (ASSMO)

Evaluating generalization performance of boundary-informed cGANs for continuum topology optimization
On Takahashi; Kazuki Hayashi; Makoto Ohsaki
Asian Congress of Structural and Multidisciplinary Optimization (ACSMO), 22 May 2024, Asian Society for Structural and Multidisciplinary Optimization (ASSMO)

At the intersection of structural engineering, discrete differential geometry, and machine learning
Kazuki Hayashi
PhD seminar at TU Munich, 21 Mar. 2024, Technical University of Munich, Invited

Topology design of lattice structures with specified deformations using machine learning
Tomoya Matsuoka; Makoto Ohsaki; Kazuki Hayashi
The 46th Symposium on Computer Technology of Information, Systems and Applications, 07 Dec. 2023, Architectural Institute of Japan

Graph is a key to extracting knowledge for structural optimization and architectural design
Kazuki Hayashi
COAST seminar, 05 Dec. 2023, Navier Laboratory, École nationale des ponts et chaussées, Invited

Topology optimization of continuum structure using conditional generative adversarial network with boundary conditions as input
On Takahashi; Kazuki Hayashi; Makoto Ohsaki
the 18th colloquium analysis and generation of structural shapes and systems, 17 Nov. 2023, Architectural Institute of Japan

Optimal design of steel frames based on policy network reinforcement learning
Kotaro Takenaka; Makoto Yamakawa; Kazuki Hayashi
the 33rd Design and Systems Conference (D&S2022), 20 Sep. 2023, The Japan Society of Mechanical Engineers (JSME)

Extracting meaningful features from data with irregular connectivity for structural optimization
Kazuki Hayashi
Scientific Computing Seminar, 09 Nov. 2023, University of Kaiserslautern-Landau, Invited

Shape optimization of shell structures consisting of discrete surfaces with piecewise constant Gaussian curvature
Kenta Fukui; Makoto Ohsaki; Kazuki Hayashi
Annual Convention of Architectural Institute of Japan (AIJ), 13 Sep. 2023, Architectural Institute of Japan

A multi-agent reinforcement learning framework for bi-objective optimization
Chi-tathon Kupwiwat; Kazuki Hayashi; Makoto Ohsaki
the 33th Design and Systems Conference (D&S2023), 21 Sep. 2023, The Japan Society of Mechanical Engineers

Multi-objective optimization of 10-bar truss using multi-agent reinforcement learning
Chi-tathon Kupwiwat; Kazuki Hayashi; Makoto Ohsaki
Annual Convention of Architectural Institute of Japan (AIJ), 14 Sep. 2023, Architectural Institute of Japan

Topology optimization of continuum structures using conditional generative adversarial networks
On Takahashi; Kazuki Hayashi; Makoto Ohsaki
Annual Convention of Architectural Institute of Japan (AIJ), 15 Sep. 2023, Architectural Institute of Japan

Optimization of lattice structures by machine learning models using feature selection
Tomoya Matsuoka; Makoto Ohsaki; Kazuki Hayashi
Annual Convention of Architectural Institute of Japan (AIJ), 15 Sep. 2023, Architectural Institute of Japan

Mean curvature flow for generating triangular meshes with piecewise constant mean curvatures
Kazuki Hayashi; Yoshiki Jikumaru; Makoto Ohsaki; Takashi Kagaya; Yohei Yokosuka
the XI edition of the conference on Textile Composites and Inflatable Structures (STRUCTURAL MEMBRANES 2023), 03 Oct. 2023, Carlos Lázaro, Riccardo Rossi and Roland Wüchner

Force density method for simultaneous optimization of geometry and topology of trusses with uniform cross- section
Saku Aoyagi; Kazuki Hayashi; Makoto Ohsaki
Annual Convention of Architectural Institute of Japan (AIJ), 14 Sep. 2023, Architectural Institute of Japan

Variational principle for generating discrete surfaces with piecewise constant Gaussian curvatures
Kazuki Hayashi; Yoshiki Jikumaru; Makoto Ohsaki; Takashi Kagaya; Yohei Yokosuka
the 10h International Congress on Industrial and Applied Mathematics (ICIAM 2023), 25 Aug. 2023, the International Council for Industrial and Applied Mathematics (ICIAM)

Sizing optimization of free-form lattice shells using deep deterministic policy gradient and graph convolutional networks
Chi-tathon Kupwiwat; Kazuki Hayashi; Makoto Ohsaki
IASS Symposium 2023, 11 Jul. 2023, International Association of Shell and Spatial Structures (IASS)

Isogeometric deep learning framework to predict the structural performance of free-form surfaces
Kazuki Hayashi; Makoto Ohsaki
IASS Symposium 2023, 13 Jul. 2023, International Association of Shell and Spatial Structures (IASS)

Study on shape generation and structural properties of discrete CGC surface generated by Gaussian curvature flow considering movement of internal boundary
Kenta Fukui; Makoto Ohsaki; Kazuki Hayashi
Annual Convention of Architectural Institute of Japan (AIJ) Kinki Branch, 24 Jun. 2023, Architectural Institute of Japan

Target shape approximation of anti-funicular shells by load control using RBF interpolation
Kazuki Hayashi; Jun Yanagimuro
Annual Convention of Architectural Institute of Japan (AIJ) Kinki Branch, 24 Jun. 2023, Architectural Institute of Japan

Reinforcement learning and graph representations for optimization of plane steel building frames
Makoto Ohsaki; Kazuki Hayashi; Chi-tathon Kupwiwat
the 15th World Congress on Structural and Multidisciplinary Optimisation (WCSMO2023), 09 Jun. 2023, the international Society for Structural and Multidisciplinary Optimisation (ISSMO)

A truss structure with mechanical optimality, artisiticity and integrability
Kenji Kajiwara; Yohei Yokosuka; Kazuki Hayashi; Yoshiki Jikumaru; Kentaro Hayakawa
Symmetries and Integrability of Difference Equations 14.2, 21 Jun. 2023, Symmetries and Integrability of Difference Equations

On the Michell truss-like structure and discrete log-aesthetic curves based on integrable geometry
Yoshiki Jukumaru; Kentaro Hayakawa; Kazuki Hayashi; Kenji Kajiwara; Yohei Yokosuka
Annual meeting of The Mathematical Society of Japan, 17 Mar. 2023, The Mathematical Society of Japan

Generating kinematically-stable 2D trusses for topology optimization by reinforcement learning and graph embedding
Shaojun Zhu; Makoto Ohsaki; Kazuki Hayashi
IASS 2022 Symposium affiliated with APCS 2022 conference, 20 Sep. 2022, International Association for Shell and Spatial Structures (IASS)

Simultaneous generation of shape and stress distribution by discrete membrane O-surface
Yohei Yokosuka; Yoshiki Jikumaru; Kazuki Hayashi; Kentaro Hayakawa; Takanori Yagi; Shono Suzuki; Yusuke Sakai; Keisuke Mizutani
Annual Convention of the Japan Society for Industrial and Applied Mathematics, 10 Sep. 2022, the Japan Society for Industrial and Applied Mathematics

Structural performance of triangular latticed shells with regularized panels for Bézier design surfaces
Kazuki Hayashi; Makoto Ohsaki
12th Asian Pacific Conference on Shell and Spatial Structures (APCS2018), 29 Oct. 2018, The School of Civil Engineering, Universiti Sains Malaysia

FDMOPT: A new tool for simultaneous optimization of geometry
Makoto Ohsaki; Kazuki Hayashi; Caitlin Mueller
IASS annual symposium 2018, 19 Jul. 2018, International Association for Shell and Spatial Structures (IASS)

Regularization of triangular latticed shell panels for Bézier surfaces
Kazuki Hayashi; Makoto Ohsaki
IASS annual symposium 2018, 17 Jul. 2018, International Association for Shell and Spatial Structures (IASS)

Force density method for simultaneous optimization of geometry and topology of spatial trusses
Kazuki Hayashi; Makoto Ohsaki; Caitlin Mueller
IASS annual symposium 2017, Sep. 2017, International Association for Shell and Spatial Structures (IASS)

On the Michell truss-like structures recovered by discrete holomorphic functions
Kazuki Hayashi; Kentaro Hayakawa; Yoshiki Jikumaru; Kenji Kajiwara; Yohei Yokosuka
Annual Convention of the Japan Society for Industrial and Applied Mathematics, 10 Sep. 2022, the Japan Society for Industrial and Applied Mathematics

Simultaneous optimization of discrete cross-sections and nodal coordinates for spatial trusses combining time-window particle swarm optimization and covariance matrix adaptation evolution strategy
Kazuki Hayashi; Makoto Ohsaki
The 14th Optimization Symposium 2022 (OPTIS2022), 12 Nov. 2022, The Japan Society of Mechanical Engineers

Topology optimization of planar trusses combining structural analysis by classical computing and cross-section change by quantum annealing
Kazuki Hayashi; Makoto Ohsaki
The 45th Symposium on Computer Technology of Information, Systems and Applications, 01 Dec. 2022, Architectural Institute of Japan

Gaussian curvature flow for constant Gaussian curvature surface with triangular mesh
Makoto Ohsaki; Kazuki Hayashi; Yoshiki Jikumaru; Takashi Kagaya; Yohei Yokosuka
IASS 2022 Symposium affiliated with APCS 2022 conference, 21 Sep. 2022, International Association of Shell and Spatial Structures (IASS)

Deep deterministic policy gradient and graph convolutional network for geometry and topology optimization of braced latticed shells
Chi-tathon Kupwiwat; Kazuki Hayashi; Makoto Ohsaki
Annual Convention of Architectural Institute of Japan (AIJ) Kinki Branch, 26 Jun. 2022, Architectural Institute of Japan (AIJ)

Low-dimensional mapping of design evaluation data by analytic hierarchy process and machine learning
Kazuki Hayashi; Hiroto Ota
the 32th Design and Systems Conference (D&S2022), 22 Sep. 2022, The Japan Society of Mechanical Engineers (JSME)

Topology optimization of braced latticed shells using deep deterministic policy gradient and graph convolutional network
Chi-tathon Kupwiwat; Kazuki Hayashi; Makoto Ohsaki
Asian Congress of Structural and Multidisciplinary Optimization (ACSMO), 25 May 2022, Asian Society for Structural and Multidisciplinary Optimization (ASSMO)

Generation of discrete surfaces with piecewise constant mean curvature by mean curvature flow considering boundary terms
Kazuki Hayashi; Yoshiki Jikumaru; Makoto Ohsaki; Takashi Kagaya; Yohei Yokosuka
the 18th union presentation of research groups, 08 Mar. 2022, the Japan Society for Industrial and Applied Mathematics

Reinforcement learning for construction process of truss by stability assessment and graph embedding
Masaya Kotera; Kazuki Hayashi; Makoto Ohsaki
The 44th Symposium on Computer Technology of Information, Systems and Applications, 09 Dec. 2021, Architectural Institute of Japan

Topology optimization of planar trusses by reinforcement learning agents trained for the sequential member addition and removal process
Kazuki Hayashi; Makoto Ohsaki
The 44th Symposium on Computer Technology of Information, Systems and Applications, 09 Dec. 2021, Architectural Institute of Japan

A method for simultaneous generation of optimal shapes of planar trusses with different aspect ratios by multi-objective optimization
Saku Aoyagi; Kazuki Hayashi; Makoto Ohsaki
the 16th colloquium analysis and generation of structural shapes and systems, 29 Oct. 2021

Reinforcement learning and graph embedding for generating stable construction process of trusses
Masaya Kotera; Makoto Ohsaki; Kazuki Hayashi
Annual Convention of Architectural Institute of Japan (AIJ), 09 Sep. 2021, Architecture Institute of Japan

Force density method for simultaneous optimization of geometry and topology of curved surface trusses
Saku Aoyagi; Makoto Ohsaki; Kazuki Hayashi
Annual Convention of Architectural Institute of Japan (AIJ), 09 Sep. 2021, Architecture Institute of Japan

Optimal topology prediction of planar trusses using graph embedding and supervised learning
Kazuki Hayashi; Makoto Ohsaki
Annual Convention of Architectural Institute of Japan (AIJ), 07 Sep. 2021, Architecture Institute of Japan

Graph embedding and machine learning for topology optimization of planar trusses
Kazuma Sakaguchi; Makoto Ohsaki; Kazuki Hayashi
Annual Convention of Architectural Institute of Japan (AIJ), 07 Sep. 2021, Architecture Institute of Japan

Reinforcement learning for optimal topology design of 3D trusses
Kazuki Hayashi; Makoto Ohsaki
IASS Annual Symposium 2020/21, 27 Aug. 2021, International Association of Shell and Spatial Structures (IASS)

Reinforcement learning for topology optimization of 3D trusses using graph embedding and block matrix
Kazuki Hayashi; Makoto Ohsaki
Annual Convention of Architectural Institute of Japan (AIJ) Kinki Branch, 26 Jun. 2021, Architectural Institute of Japan

Machine learning and graph embedding for truss topology optimization
Makoto Ohsaki; Kazuki Hayashi; Kazuma Sakaguchi
14th World Congress of Structural and Multidisciplinary Optimization (WCSMO-14), 16 Jun. 2021, International Society for Structural and Multidisciplinary Optimization (ISSMO)

Cross-section optimization of steel frames using graph-based reinforcement learning
Kazuki Hayashi; Makoto Ohsaki
14th World Congress of Structural and Multidisciplinary Optimization (WCSMO-14), 15 Jun. 2021, International Society for Structural and Multidisciplinary Optimization (ISSMO)

Gaussian curvature flow for architectural morphogenesis of discrete surfaces with piece-wisely constant Gaussian curvature
Kazuki Hayashi; Yoshiki Jikumaru; Makoto Ohsaki; Takashi Kagaya; Yohei Yokosuka
the 17th union presentation of research groups, 05 Mar. 2021, the Japan Society for Industrial and Applied Mathematics

Minimum-volume design of steel frames using reinforcement learning
Kazuki Hayashi; Makoto Ohsaki
ECCOMAS Congress 2020 and 14th WCCM, 14 Jan. 2021, International Association for Computational Mechanics (IACM) and European Community on Computational Methods in Applied Sciences (ECCOMAS)

Development of an agent for discrete cross-section design of planar steel frames using graph embedding and reinforcement learning
Kazuki Hayashi; Makoto Ohsaki
The 43rd Symposium on Computer Technology of Information, Systems and Applications, 10 Dec. 2020

Reinforcement learning and graph embedding for sequential optimal design of plane trusses and frames
Kazuki Hayashi; Makoto Ohsaki
Asian Congress of Structural and Multidisciplinary Optimization (ACSMO), 25 Nov. 2020, Asian Society of Structural and Multidisciplinary Optimization (ASSMO) and Korean Society for Design Optimization (KSDO)

Graph embedding and reinforcement learning for topology optimization of planar trusses with stress constraints
Kazuki hayashi; Makoto Ohsaki
Annual Convention of Architectural Institute of Japan (AIJ) Kinki Branch, Jun. 2020, Architectural Institute of Japan

Study on communication environment to visualize and share jury’s own ”design evaluation” - Design review system with AHP application
Hiroto Ota; Takuya Ito; Kazuki Hayashi
Annual Convention of Architectural Institute of Japan (AIJ), Sep. 2020, Architectural Institute of Japan

Reinforcement learning and graph embedding for cross-sectional design of planar steel frames
Kazuki Hayashi; Makoto Ohsaki
Annual Convention of Architectural Institute of Japan (AIJ), Sep. 2020, Architectural Institute of Japan

Development of an application to visualize and share user’s own design review expressed as AHP - A report of experiment in the review-event “Diploma x Kyoto”
Hiroto Ota; Kazuki Hayashi
Design Symposium, 17 Nov. 2019

Deep-Q network for truss topology optimization with stress constraints
Kazuki Hayashi; Makoto Ohsaki
IASS symposium, 09 Oct. 2019, International Association of Shell and Spatial Structures (IASS)

Shape optimization of frame structures using dynamic programming
Kazuki Hayashi; Makoto Ohsaki
The 41st Symposium on Computer Technology of Information, Systems and Applications, 06 Dec. 2018, Architectural Institute of Japan

Force density method for simultaneous optimization of geometry and topology for latticed shells with free-form design surface
Kazuki Hayashi; Makoto Ohsaki
Annual Convention of Architectural Institute of Japan (AIJ), 05 Sep. 2018

Regularization of edge length of triangular panels for latticed shells with free-form surfaces
Kazuki Hayashi; Makoto Ohsaki
Annual Convention of Architectural Institute of Japan (AIJ) Kinki Branch, 24 Jun. 2018, Architectural Institute of Japan

Simultaneous topology and shape optimization by force density method - Analysis of constraint method for member length and nodal position
Kazuki Hayashi; Makoto Ohsaki
The 40th Symposium on Computer Technology of Information, Systems and Applications, 14 Dec. 2017

Force density method for simultaneous optimization of geometry and topology of trusses
Kazuki Hayashi; Makoto Ohsaki
Annual Convention of Architectural Institute of Japan (AIJ), 03 Sep. 2017, Architectural Institute of Japan

Simultaneous optimization of topology and geometry of planar truss using force density as design variable
Kazuki Hayashi; Makoto Ohsaki
The 11th colloquium analysis and generation of structural shapes and systems, 28 Oct. 2016, Architectural Institute of Japan

A study on critique of architectural and urban design by the method of using AHP
Kazuki Hayashi; Hiroto Ota
Annual Convention of Architectural Institute of Japan (AIJ), 06 Sep. 2015, Architectural Institute of Japan

Assembly sequence optimization of spatial trusses using graph embedding and reinforcement learning
Kazuki Hayashi; Makoto Ohsaki; Masaya Kotera
IASS 2022 Symposium affiliated with APCS 2022 conference, 22 Sep. 2022, International Association for Shell and Spatial Structures (IASS), Invited

Design of brace location and cross-section of steel frame by reinforcement learning using grid features
Yuichi Iwagoe; Makoto Ohsaki; Kazuki Hayashi; Kupwiwat Chi-tathon
Annual Convention of Architectural Institute of Japan (AIJ), 07 Sep. 2022, Architectural Institute of Japan

Geometry optimization of lattice shells using GAT-DDPG with Bézier surface
Chi-tathon Kupwiwat; Kazuki Hayashi; Makoto Ohsaki
Annual Convention of Architectural Institute of Japan (AIJ), 08 Sep. 2022, Architectural Institute of Japan

Generation method of slit patterns using Bézier curves and structural analysis models with beam elements for kerf bending
Kazuki Hayashi; Makoto Ohsaki
Annual Convention of Architectural Institute of Japan (AIJ), 08 Sep. 2022, Architectural Institute of Japan

Graph and machine learning-based approach to prediction of ultimate load of latticed shells considering geometric nonlinearity
Kazuki Hayashi; Makoto Ohsaki
15th World Congress on Computational Mechanics (WCCM-XV) 8th Asian Pacific Congress on Computational Mechanics (APCOM-VIII), 03 Aug. 2022, The International Association for Computational Mechanics (IACM) and The Japan Society for Computational Engineering and Science (JSCES) in cooperation with the Asian-Pacific Association for Computational Mechanics (APACM) and Japan Association for Computational Mechanics (JACM)

Generating optimal shape of plane truss with various aspect ratios by multi-objective optimization
Saku Aoyagi; Kazuki Hayashi; Makoto Ohsaki
Annual Convention of Architectural Institute of Japan (AIJ) Kinki Branch, 26 Jun. 2022, Architectural Institute of Japan

Prediction of the reduction factors for elastic buckling loads of single-layer latticed shells using graph embedding and machine learning
Kazuki Hayashi; Makoto Ohsaki
Annual Convention of Architectural Institute of Japan (AIJ) Kinki Branch, 26 Jun. 2022, Architectural Institute of Japan

Machine learning model using graph embedding for extracting features of skeletal structures
Kazuki Hayashi; Makoto Ohsaki
The 66th National Congress of Theoretical and Applied Mechanics, 24 Jun. 2022, The Japan Federation of Engineering Societies (JFES) Theoretical Applied Mechanics Consortium

Force density method for simultaneous optimization of geometry and topology of trusses of uniform cross-sections on free-form design surface
Saku Aoyagi; Kazuki Hayashi; Makoto Ohsaki
Asian Congress of Structural and Multidisciplinary Optimization (ACSMO), 24 May 2022, Asian Society for Structural and Multidisciplinary Optimization (ASSMO)

Knowledge extraction of discrete cross-section optimization of planar steel frames using graph-based reinforcement learning
Kazuki Hayashi; Makoto Ohsaki
Asian Congress of Structural and Multidisciplinary Optimization (ACSMO), 24 May 2022, Asian Society for Structural and Multidisciplinary Optimization (ASSMO)

Predictive model for external force work of trusses using graph embedding and machine learning
Keiya Nakazato; Kazuki Hayashi; Makoto Ohsaki
Annual Convention of Architectural Institute of Japan (AIJ), 07 Sep. 2022, Architectural Institute of Japan

Books and Other Publications

Differential geometric approaches to shell membrane theory and their applications to architectural surface design
Kentaro Hayakawa; Yoshiki Jikumaru; Yohei Yokosuka; Takashi Kagaya; Kazuki Hayashi; Yusuke Sakai, Joint editor
Math-for-industry Education and Research Hub, Kyushu University, 28 Jul. 2021

Works

RBF Load
Kazuki Hayashi; Jun Yanagimuro
From 31 Jul. 2023, To Present

LIVE AHP
Kazuki Hayashi; Hiroto Ota
From 29 Apr. 2020, To Present

Assembly Sequence Predictor
Kazuki Hayashi; Makoto Ohsaki
From 27 Apr. 2022, To Present

FDMopt
Kazuki Hayashi; Makoto Ohsaki
From 15 Sep. 2021, To Present

External funds: Kakenhi

Development of a combined method of graph embedding and machine learning for optimal design of skeletal structures
Grant-in-Aid for Research Activity Start-up
0304:Architecture, building engineering, and related fields
Kyoto University
Kazuki Hayashi
From 30 Aug. 2021, To 31 Mar. 2023, Project Closed
構造最適化;機械学習;グラフ埋め込み;幾何学的深層学習;離散構造物;強化学習;教師あり学習;建築構造最適化;鋼構造平面骨組;断面最適化;非線形問題
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21K20461/

Analysis and design of building frames using machine learning considering uncertainty of parameters
Grant-in-Aid for Scientific Research (C)
Basic Section 23010:Building structures and materials-related
Kyoto University
大崎純
From 01 Apr. 2023, To 31 Mar. 2026, Granted
建築骨組;機械学習;構造設計;不確定性;構造最適化
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-23K04104/

Construction of an AI-supported system for the design and assembly sequence planning of multi-member interlocking joints
Grant-in-Aid for Early-Career Scientists
Basic Section 23010:Building structures and materials-related
Kyoto University
林和希
From 01 Apr. 2024, To 31 Mar. 2028, Granted
篏合;離散構造;グラフ理論;機械学習
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-24K17392/

Last Updated :2025/05/16

Education

Teaching subject(s)

From 01 Apr. 2024, To 31 Mar. 2025
Mechanics of Building Structures II
4012, Fall, Faculty of Engineering, 2

From 01 Apr. 2023, To 31 Mar. 2024
Mechanics of Building Structures II
4012, Fall, Faculty of Engineering, 2

From 01 Apr. 2023, To 31 Mar. 2024
Mechanics of Building StructuresI
4011, Spring, Faculty of Engineering, 2

From 01 Apr. 2023, To 31 Mar. 2024
Practice of Basic Informatics (Faculty of Engineering)
T006, Spring, Institute for Liberal Arts and Sciences, 2

From 01 Apr. 2023, To 31 Mar. 2024
Mechanics of Building StructuresIII
4022, Spring, Faculty of Engineering, 4

From 01 Apr. 2022, To 31 Mar. 2023
Mechanics of Building StructuresIII
4022, Spring, Faculty of Engineering, 4

From 01 Apr. 2022, To 31 Mar. 2023
Mechanics of Building StructuresI
4011, Spring, Faculty of Engineering, 2

From 01 Apr. 2022, To 31 Mar. 2023
Practice of Basic Informatics (Faculty of Engineering)
T006, Spring, Institute for Liberal Arts and Sciences, 2

From Apr. 2021, To Mar. 2022
Mechanics of Building StructuresIII
Spring, 工学部

From Apr. 2021, To Mar. 2022
Mechanics of Building StructuresI
Spring, 工学部

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Hayashi, Kazuki

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External funds: Kakenhi

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